The majority of the recent advancement in AI and related fields involve English as the primary language. Despite having the global footprint of the English speaking population, a significant number of people are not comfortable with it, especially in a developing country like India. Even with the combined efforts of government, industry, and academia, the research in regional languages (e.g., Hindi, Bengali, etc.) and their code-mixed variants (e.g., Hinglish, Bengalish, etc.) are yet to excel. A prime reason is the insufficient resources to motivate young and to-be researchers to explore the research in low-resource languages. Therefore, with the proposed workshop on Indian Code-mixed and Low-resource Natural Language Processing (aka. ICLrNLP), we aim to provide a platform to the young researchers to showcase their research skills for the growth of AI-based technologies in these linguistic setups. The theme of the workshop would span across the complete spectrum of NLP research -- classical NLP tasks, generative models, conversational dialogue, representation learning, cross-linguality, multi-linguality, multimodality, etc. We also plan to organize a three days long tutorial and laboratory sessions for the skill development, conduct shared tasks on real world problems, and invite the eminent experts from academia and industry for the keynotes and invited talks.
It is being organized by the Laboratory for Computational Social Systems (LCS2), iHuB Anubhuti IIITD Foundation and the Department of CSE, IIIT Delhi